Reinforcement Learning‐Based Routing Algorithm in Satellite‐Terrestrial Integrated Networks

Y Yin, C Huang, DF Wu, S Huang… - Wireless …, 2021 - Wiley Online Library
Satellite‐terrestrial integrated network (STIN) is an indispensable component of the Next
Generation Internet (NGI) due to its wide coverage, high flexibility, and seamless …

A multipath routing algorithm for satellite networks based on service demand and traffic awareness

Z Xing, H Qi, X Di, J Liu, R Xu, J Chen… - Frontiers of Information …, 2023 - Springer
With the reduction in manufacturing and launch costs of low Earth orbit satellites and the
advantages of large coverage and high data transmission rates, satellites have become an …

[HTML][HTML] Fast-Convergence Reinforcement Learning for Routing in LEO Satellite Networks

Z Ding, H Liu, F Tian, Z Yang, N Wang - Sensors, 2023 - mdpi.com
Fast convergence routing is a critical issue for Low Earth Orbit (LEO) constellation networks
because these networks have dynamic topology changes, and transmission requirements …

[HTML][HTML] Reinforcement learning based dynamic distributed routing scheme for mega LEO satellite networks

Y Huang, WU Shufan, K Zeyu, MU Zhongcheng… - Chinese Journal of …, 2023 - Elsevier
Abstract Recently, mega Low Earth Orbit (LEO) Satellite Network (LSN) systems have
gained more and more attention due to low latency, broadband communications and global …

LEO satellite network routing algorithm based on reinforcement learning

X Wang, Z Dai, Z Xu - 2021 IEEE 4th International Conference …, 2021 - ieeexplore.ieee.org
Satellite networking is a network composed of satellite connections, through which global
coverage can be achieved to meet the communication requirements of users in remote …

Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach

Y Lyu, H Hu, R Fan, Z Liu, J An… - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
The integrated satellite-terrestrial network (ISTN) system has experienced significant growth,
offering seamless communication services in remote areas with limited terrestrial …

Multi-commodity flow routing for large-scale LEO satellite networks using deep reinforcement learning

KC Tsai, L Fan, LC Wang, R Lent… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
With the explosive growth of low earth orbit (LEO) satellite networks, such as Starlink,
satellite communication has lower latency and can achieve high-speed transmission than …

Adaptive routing strategy based on improved Q-learning for satellite internet of things

X Gong, L Sun, J Zhou, J Wang, F Xiao - Security, Privacy, and Anonymity …, 2021 - Springer
Abstract Satellite Internet of Things (S-IoT), which combines satellite networks with IoT, is a
ubiquitous IoT system under the integrated satellite-terrestrial information network …

An adaptive routing algorithm for integrated information networks

F Wang, D Jiang, S Qi - China Communications, 2019 - ieeexplore.ieee.org
The integrated information network is a large capacity information network that integrates
various communication platforms on the ground, at sea, in the air and in the deep air through …

A deep reinforcement learning based routing scheme for LEO satellite networks in 6G

YH Hsu, JI Lee, FM Xu - 2023 IEEE Wireless Communications …, 2023 - ieeexplore.ieee.org
With the increasing demands of global communication, integrating the low-earth-orbit (LEO)
satellite networks (LSNs) with the existing terrestrial networks can significantly extend the …